Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model
DOI10.1080/02664763.2020.1803815OpenAlexW3048167773MaRDI QIDQ5861281
Samadrita Bera, Nabakumar Jana
Publication date: 4 March 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2020.1803815
Monte Carlo simulationsequivariant estimatormaximum likelihood estimatorsBayes estimatorsUMVUEstress-strength reliabilityordered scale parameters
Point estimation (62F10) Parametric inference under constraints (62F30) Reliability and life testing (62N05) Applications of statistics (62Pxx)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation of P[ \(Y < X \) for generalized exponential distribution]
- Order statistics from inverse Weibull distribution and associated inference
- On system reliability in stress-strength setup
- Confidence limits and prediction limits for a Weibull distribution based on the generalized variable approach
- Bayesian estimation for shifted exponential distributions
- A unified approach to improving equivariant estimators
- Estimating the parameters of an inverse Weibull distribution under progressive type-I interval censoring
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on a general class of inverse exponentiated distributions
- Estimation of scale parameter under entropy loss function
- Generalized inferences of \(R\) = \(\Pr (X>Y)\) for Pareto distribution
- Two stage multiple comparisons with the average for exponential location parameters under heteroscedasticity
- Optimal rules and robust Bayes estimation of a gamma scale parameter
- Bayesian inference and prediction of the inverse Weibull distribution for type-II censored data
- Estimation of Reliability in a Multicomponent Stress-Strength Model
- Conditional confidence interval estimation for the inverse weibull distribution based on censored generalized order statistics
- Estimation of a Gamma Scale Parameter Under Asymmetric Squared Log Error Loss
- Estimating the variance of a normal population by utilizing the information in a sample from a second related normal population
- Bayes 2-sample prediction for the inverse weibull distribution
- Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring
- Non-informative priors for the inverse Weibull distribution
- Statistical inferences for stress–strength in the proportional hazard models based on progressive Type-II censored samples
- On the existence and uniqueness of the MLEs of the parameters of a general class of exponentiated distributions
- Discrimination between the Log-Normal and the Weibull Distributions
- On Minimax Statistical Decision Procedures and their Admissibility
This page was built for publication: Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model
